iSQI CTFL_Syll_4.0 Exam With Confidence Using Practice Dumps

Statement coverage is a structural coverage metric that measures the percentage of executable statements in the source code that are executed by a test suite1. Decision coverage is another structural coverage metric that measures the percentage of decision outcomes (such as branches or conditions) in the source code that are executed by a test suite1. Decision coverage is a stronger metric than statement coverage, because it requires that every possible outcome of each decision is tested, while statement coverage only requires that every statement is executed at least once2. Therefore, if a test suite achieves 100% decision coverage, it also implies that it achieves 100% statement coverage, because every statement in every branch or condition must have been executed. However, the converse is not true: 100% statement coverage does not guarantee 100% decision coverage, because some branches orconditions may have multiple outcomes that are not tested by the test suite2. For example, consider the following pseudocode:

if (x > 0) then print(“Positive”) else print(“Non-positive”) end if

A test suite that executes this code with x = 1 and x = -1 will achieve 100% statement coverage, because both print statements are executed. However, it will not achieve 100% decision coverage, because the condition x > 0 has only been tested with two outcomes: true and false. The third possible outcome, x = 0, has not been tested by the test suite. Therefore, the test suite may miss a potential bug or error in the condition or the branch.

The other options, such as stale transition coverage, equivalence class coverage, and boundary value coverage, are not guaranteed to be 100% by achieving 100% decision coverage. Stale transition coverage is a structural coverage metric that measures the percentage of transitions between states in a state machine that are executed by a test suite3. Equivalence class coverage is a functional coverage metric that measures the percentage of equivalence classes (or partitions) of input or output values that are tested by a test suite4. Boundary value coverage is another functional coverage metric that measures the percentage of boundary values (or extreme values) of input or output ranges that are tested by a test suite4. These metrics are independent of decision coverage, because they are based on different aspects of the system under test, such as its behavior, functionality, or specification. Therefore, achieving 100% decision coverage does not imply achieving 100% of any of these metrics, and vice versa. References = ISTQB® Certified Tester Foundation Level Syllabus v4.0, Test Coverage in Software Testing - Guru99, Structural Coverage Metrics - MATLAB & Simulink - MathWorks India, Test Design Coverage in Software Testing - GeeksforGeeks.

A test plan is a document detailing the objectives, resources, schedule, and scope of testing activities. It also outlines the test strategy, environment, tools, and criteria for test completion and suspension.

Option A:Correct as it indicates resource planning which is a crucial part of a test plan.

Option B:Correct as it describes exit criteria which are essential for test completion.

Option C:Incorrect because a test plan typically addresses known risks and mitigation strategies but does not list unmitigated risks post-test execution.

Option D:Correct as it mentions suspension criteria which are also a part of a test plan.

Therefore, option C is false as it does not reflect the typical information found within a test plan.

Sequential models, such as the Waterfall model, typically involve completing the requirements review before moving on to test analysis, as well as producing extensive product documentation (i and iv). Iterative and incremental models, like Agile and Spiral models, often involve both static and dynamic testing at the unit testing level, frequent regression testing due to continuous integration and changes, and more use of exploratory testing (ii, iii, and v).